Grambling
2026 Team Stats (32 games)
70.9
PPG
70.1
Opp
+0.8
Margin
43.3%
FG%
32.1%
3P%
73.4%
FT%
33.4
RPG
12.3
APG
14.3
TO
79.3
Pace
64.7
AdjO
75.7
AdjD
#309
Rank
Model Outputs
2025-2026
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Elo Elo Streaming paired-comparison rating with recency baked into sequential updates. More → | 822 (#318) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 806 (#318) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 975 (#560) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -10.8 (#308) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +1.3 (#351) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.410 (#232) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.473 (#178) | NetEff -0.9 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.177 (#304) | AdjNet -13.4 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.173 (#304) | AdjNet -13.6 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.270 (#309) | AdjO 64.7 | AdjD 75.7 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.446 (#504) | AdjO 66.8 | AdjD 69.2 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.532 (#323) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Recency Ensemble Recency Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and recency points off/def. More → | 0.498 (#327) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 893 (#516) | RD 136 | GP 32 |
2026 Schedule & Results
2026 Roster
Minutes by Position
The surface stays filled across the five on-court roles. Use the labels or legend to isolate how each player absorbs guard-to-big minutes.
| Player | Pos | GP | MIN | PTS | REB | AST | STL | BLK | TO | FGA | Numbers | PM | PM/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Antonio Munoz
|
- | 27 | 25.0 | 12.9 | 3.6 | 2.0 | 0.7 | 0.5 | 2.5 | 9.0 | 8.2 | -25 | -1.4 | -2.5 | 48.1 | 6.2 | 66.5 | -0.41 | 54.8 | 48.4 |
J. Muttilib
|
G | 32 | 26.8 | 12.2 | 3.3 | 0.5 | 1.4 | 0.4 | 1.2 | 9.4 | 7.3 | -71 | -3.5 | -7.3 | 44.2 | 33.3 | 84.8 | -1.42 | 58.1 | 53.7 |
R. Coffee III
|
F | 31 | 33.5 | 10.9 | 4.6 | 4.2 | 1.8 | 0.1 | 2.6 | 8.5 | 10.5 | 186 | 9.3 | 13.5 | 41.8 | 37.5 | 75.3 | 1.55 | 55.3 | 50.4 |
D. Ward
|
G | 31 | 30.8 | 10.7 | 3.2 | 2.5 | 1.0 | 0.3 | 2.1 | 8.9 | 6.7 | -22 | -1.2 | -2.0 | 38.9 | 33.1 | 78.7 | -0.53 | 52.8 | 47.6 |
J. Lane
|
- | 27 | 22.5 | 8.2 | 4.5 | 1.0 | 1.0 | 0.4 | 1.7 | 6.9 | 6.6 | 150 | 7.1 | 15.0 | 44.6 | 22.0 | 78.0 | 1.07 | 52.1 | 47.0 |
R. Ballard
|
F | 32 | 22.3 | 7.3 | 2.7 | 0.9 | 1.2 | 0.3 | 0.8 | 5.2 | 6.3 | 2 | 0.1 | 0.2 | 40.7 | 38.2 | 74.6 | -0.37 | 59.8 | 55.7 |
R. Jones
|
- | 19 | 15.3 | 5.2 | 3.1 | 0.5 | 0.4 | 0.2 | 1.1 | 3.9 | 4.3 | -14 | -0.5 | -0.7 | 48.6 | 0 | 78.8 | -0.31 | 55.4 | 48.6 |
Nazar Mahmoud
|
G | 2 | 13.5 | 5.0 | 2.0 | 1.5 | 1.0 | 0.5 | 1.0 | 4.0 | 5.0 | 7 | 3.5 | 84.8 | 37.5 | 0.0 | 80.0 | -0.01 | 49.0 | 37.5 |
Devyn Franklin
|
- | 32 | 19.3 | 4.9 | 4.6 | 0.7 | 0.6 | 0.3 | 1.2 | 4.2 | 5.7 | 10 | 0.6 | 1.8 | 41.5 | 5.0 | 71.0 | -0.06 | 48.4 | 41.9 |
Mekhi Fitts
|
- | 23 | 10.1 | 3.1 | 2.3 | 0.3 | 0.2 | 0.3 | 0.9 | 1.9 | 3.5 | -12 | -1.0 | -4.1 | 62.8 | 66.7 | 55.2 | -0.04 | 64.6 | 65.1 |
R. Amaefule
|
- | 13 | 8.7 | 1.6 | 0.9 | 0.1 | 0.2 | 0.1 | 0.6 | 1.5 | 0.7 | -37 | -3.7 | -24.2 | 35.0 | 0.0 | 87.5 | -0.48 | 44.6 | 35.0 |
S. Seye
|
F | 14 | 6.6 | 1.5 | 1.0 | 0.1 | 0.2 | 0.4 | 0.8 | 1.4 | 1.0 | -16 | -2.0 | -18.5 | 45.0 | 0.0 | 27.3 | -0.13 | 42.3 | 45.0 |
PJ Edwards
|
G | 14 | 7.6 | 0.9 | 0.9 | 0.3 | 0.2 | 0.1 | 0.4 | 1.4 | 0.6 | -4 | -0.4 | -3.8 | 21.1 | 0.0 | 100.0 | -0.39 | 28.9 | 21.1 |
Chancellor Perkins
|
- | 17 | 4.1 | 0.9 | 0.5 | 0.3 | 0.1 | 0.0 | 0.3 | 0.8 | 0.7 | 1 | 0.1 | 1.5 | 35.7 | 60.0 | 100.0 | -0.33 | 50.4 | 46.4 |
Numbers/Game vs RAPM
X-axis = Numbers/Game (PTS+REB+AST+STL+BLK-TO-FGA), Y-axis = RAPM.
Advanced: Numbers = PTS+REB+AST+STL+BLK-TO-FGA, PM = total +/-, PM/G = per game, PM/40 = per 40 minutes, RAPM = Regularized Adj Plus-Minus, TS% = True Shooting, eFG% = Effective FG